code: def test_batch_saves():
      save_ops = [(str(i), f"write_batch_{i}.txt") for i in range(5)]
      [
          _remove(
              f"./tests/fixtures/generated_outputs/write_batch_{i}.txt"
          )
          for i in range(5)
      ]
  
      context = CaptureSaveContext()
      with context, io_scope("./tests/fixtures/generated_outputs"):
          results = batch_save(save_ops)
          assert len(results) == 5
  
      assert len(context.captured_saves) == 5
      assert context.captured_saves[0]["type"] == "txt"
      print(context.captured_saves)
      assert "write_batch_" in context.captured_saves[0]["url"]
      assert all(
          [
              os.path.isfile(
                  f"./tests/fixtures/generated_outputs/write_batch_{i}.txt"
              )
              for i in range(5)
          ]
      )
  
imports: import time
  import pytest
  import numpy
  from lucid.misc.io.saving import save, CaptureSaveContext, batch_save
  from lucid.misc.io.loading import load
  from lucid.misc.io.scoping import io_scope, current_io_scopes
  from concurrent.futures import ThreadPoolExecutor
  import os.path
  import io
  import tensorflow
label_desc: Use image node_id 19 for calling a global function with example usage: test_batch_saves() without return types